/*
 * SPDX-FileCopyrightText: Copyright (c) 2023-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 * SPDX-License-Identifier: Apache-2.0
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

#pragma once

#include "tensorrt_llm/plugins/api/tllmPlugin.h"
#include "tensorrt_llm/runtime/tllmLogger.h"
#include "tests/utils/common.h"

#include <gmock/gmock.h>
#include <gtest/gtest.h>

#include <memory>

namespace tensorrt_llm::testing
{

class GptExecutorTest : public ::testing::Test // NOLINT(cppcoreguidelines-pro-type-member-init)
{
public:
    using SizeType32 = tensorrt_llm::testing::SizeType32;

protected:
    void SetUp() override
    {
        mDeviceCount = tensorrt_llm::common::getDeviceCount();
        if (mDeviceCount == 0)
        {
            GTEST_SKIP() << "No GPUs found";
        }

        mLogger = std::make_shared<tensorrt_llm::runtime::TllmLogger>();
        initTrtLlmPlugins(mLogger.get());
    }

    void TearDown() override {}

    int mDeviceCount{};
    std::shared_ptr<nvinfer1::ILogger> mLogger{};
    SizeType32 mMaxWaitMs = 300000;
    SizeType32 mTrigWarnMs = 10000;
};

} // namespace tensorrt_llm::testing
